LLM Mart Basic

@llm-mart · Joined Jun 2026

0 Followers 0 Reputation 13040 Contributions
ChatGPT Skill data-scientist

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.

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ChatGPT Skill deep-research

Run autonomous research tasks that plan, search, read, and synthesize information into comprehensive reports.

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ChatGPT Skill defuddle

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page.

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ChatGPT Skill design-md

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

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ChatGPT Skill design-orchestration

Orchestrates design workflows by routing work through brainstorming, multi-agent review, and execution readiness in the correct order.

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ChatGPT Skill design-philosophy

Visual philosophy and art-direction for frontend. Use when creating high-concept work, campaigns, or when the user asks for a visual philosophy, manifesto, or unmistakable art-like aesthetic.

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ChatGPT Skill design-spatial

Design — spatial composition

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ChatGPT Skill design-system

Mechanical implementation invariants for frontend design: token architecture, typography hierarchy, loading order, FOUT prevention, chrome stability, motion timing, color semantics. Use with design when building components, pages, or design systems. (Aesthetic direction lives in.

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ChatGPT Skill design-taste-frontend

Use when building high-agency frontend interfaces with strict design taste, calibrated color, responsive layout, and motion rules.

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ChatGPT Skill design-thinking

Direction and intent for frontend design. Use with design when defining purpose, tone, domain, color world, and review bar; includes cross-domain lens from cinema, architecture, marketing, UX, automotive, industrial design.

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ChatGPT Skill deterministic-design

Render the UI and prove it's balanced + usable: a deterministic layout audit (centroid / optical-center / pixel-oracle balance via explicit math + annotated screenshot) plus a vision-judged Nielsen usability audit by a separate fresh-eyes judge. The measurement layer taste-only d

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ChatGPT Skill devcontainer-setup

Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.

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ChatGPT Skill developer-advocacy

When the user wants to do developer advocacy activities including conference talks, live coding, podcasts, and building in public. Trigger phrases include "developer advocacy," "devrel," "conference talk," "CFP," "call for papers," "live coding," "podcast," "building in public,".

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ChatGPT Skill developer-churn

When the user wants to understand, reduce, or recover from developer churn. Trigger phrases include "why developers leave," "churn rate," "win-back campaign," "at-risk users," "developer retention," "preventing churn," or "competitor switching."

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ChatGPT Skill devops-deploy

DevOps e deploy de aplicacoes — Docker, CI/CD com GitHub Actions, AWS Lambda, SAM, Terraform, infraestrutura como codigo e monitoramento.

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ChatGPT Skill doc2math

Convert narrative technical documents into grounded Mathematical Problem Specifications with variables, constraints, objectives, and uncertainty.

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ChatGPT Skill docs-architect

Creates comprehensive technical documentation from existing codebases. Analyzes architecture, design patterns, and implementation details to produce long-form technical manuals and ebooks.

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ChatGPT Skill docs-guard

Review generated or changed documentation before it ships, including READMEs, API references, docstrings, changelogs, tutorials, and documentation sites.

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ChatGPT Skill documentation

Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.

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ChatGPT Skill documentation-and-adrs

Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.

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/chain Chain

Run an ad-hoc ordered chain of pm-skills with shared context (ephemeral; routes to the pm-workflow-orchestrator)

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/workflow-customer-discovery Workflow customer discovery

Run the Customer Discovery workflow (research -> JTBD -> opportunities -> problem)

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/workflow-design-sprint Workflow design sprint

Run the Design Sprint workflow (5-day prototype-and-test arc producing a Decider's build/iterate/pivot/stop call)

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/workflow-feature-kickoff Workflow feature kickoff

Run the Feature Kickoff workflow (problem -> hypothesis -> PRD -> stories)

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/workflow-foundation-sprint Workflow foundation sprint

Run the Foundation Sprint workflow (2-day strategic-alignment arc producing a Founding Hypothesis)

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/workflow-foundation-to-design Workflow foundation to design

Run the end-to-end Foundation Sprint + Design Sprint workflow with narrative handoff

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/workflow-post-launch-learning Workflow post launch learning

Run the Post-Launch Learning workflow (instrumentation -> dashboard -> results -> retro -> lessons)

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/workflow-product-strategy Workflow product strategy

Run the Product Strategy workflow (competitive analysis -> stakeholders -> opportunities -> solution -> ADR)

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/workflow-sprint-planning Workflow sprint planning

Run the Sprint Planning workflow (refinement -> stories -> edge cases)

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/workflow-stakeholder-alignment Workflow stakeholder alignment

Run the Stakeholder Alignment workflow (stakeholders -> problem -> solution -> launch)

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/workflow-technical-discovery Workflow technical discovery

Run the Technical Discovery workflow (spike -> ADR -> design rationale)

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/c-one C one

Placeholder command file for the WS-T9 dual-shell parity smoke. No count phrases.

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/minutes-brief Minutes brief

Fast non-interactive briefing before any meeting — auto-detects your next calendar event, pulls relationship history, surfaces open commitments, and produces a one-page brief in under 30 seconds. Use this whenever the user says "brief me", "give me a quick brief", "what's coming up", "background on my next call", "who am I meeting next", "brief me on Sarah", "I have a call in 10 min", "quick rundown", or right before walking into a meeting. Different from /minutes-prep — brief is the fast hook-fireable version that doesn't ask questions and doesn't set goals. Use brief when speed matters; use prep when the user wants to think hard about goals first.

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/minutes-cleanup Minutes cleanup

Manage old recordings — find large files, archive old meetings, delete processed originals. Use when the user says "clean up recordings", "how much space are meetings using", "delete old recordings", "archive meetings", "manage meeting storage", or asks about disk space from minutes.

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/minutes-copilot Minutes copilot

Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.

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/minutes-debrief Minutes debrief

Post-meeting debrief — analyzes what happened, compares outcomes to your prep intentions, tracks decision evolution. Use when the user says "debrief", "what just happened in that meeting", "what did we decide", "debrief that call", "post-meeting", "what changed", or right after stopping a recording.

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/minutes-graph Minutes graph

Policy-safe relationship rankings, commitments, aliases, person profiles, and topic research. Always use Minutes' bounded native CLI surfaces; never build or read a durable graph cache.

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/minutes-ideas Minutes ideas

Surface recent voice memos and ideas captured from any device. Use when the user asks "what ideas did I have?", "what were my recent memos?", "what did I record while walking?", or wants to recall a captured thought.

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/minutes-ingest Minutes ingest

Extract facts from meetings and update your knowledge base — person profiles, chronological log, and index. Use when the user asks "ingest my meetings", "update my knowledge base", "extract facts from meetings", "sync meetings to wiki", "backfill knowledge", or wants their PARA/Obsidian/wiki profiles updated from conversation data.

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/minutes-lint Minutes lint

Health-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.

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Suno

Make any song you can imagine

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HeyGen

Leading AI-powered video generation platform that specializes in creating hyper-realistic talking avatars

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Hermes Agent

Hermes Agent is an open-source, self-improving autonomous AI agent developed by Nous Research

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Kilo Code

Kilo Code is a popular, open-source AI coding agent and "agentic engineering" platform designed to help developers build, refactor, and debug software faster

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Coddy Agent

General-purpose agent in one static Go binary. ReAct loop, ACP server for IDEs, OpenAI-compatible REST API with embedded web UI, Telegram gateway, cron schedule…

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Boucle Framework

Autonomous agent framework with structured memory, safety hooks, and loop management. Built by the agent that runs on it.

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Tick Stock Panel

TSP自托管、零运维的 A 股「选股 + 监控 + 回测」量化工作台 | 基于 TickFlow 数据源 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源 ,非TickFlow官方项目

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Skills

Curated, verified Agent Skills powered by ModelStudio.

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Claw Orchestrator

Run Claude Code, Codex, Antigravity, Cursor Agent and OpenCode as one runtime — persistent sessions, multi-agent councils, an OpenAI-compatible endpoint, an MCP…

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Senpi

pi had nothing (nothing), so I made something (something) — sorry mariozechner-senpai, I went ahead and lovingly soiled your pure pi for you. opinionated fork o…

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KiroCrew

A persistent workspace for development work that self-improves and continues beyond one session.

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Remnic

Open-source memory and context for user-aware agents: scoped memory, provenance, retrieval quality, correction, boundaries, evals, and MCP/HTTP access.

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MisakaNet

📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. | http…

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OpenLore

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.

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Pi Task

Deterministic spec-orchestration for local LLMs in the pi coding agent — drives prompts through refine→research→grill→compose→critique, with bundled web/docs/fe…

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Safari Mcp

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chro…

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Agentlas OS

Agent OS: keep specialist agents in a hub, spin up a temporary orchestrator per task. Local-first, works with any model.

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Amfs

Git for agent memory. Branches, diffs, PRs, and rollback for what your agents know.

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Model Hotel

Multi-Provider AI Gateway - No personal logs by design. Model autodiscovery, Failover groups, High availability, Android companion app, and more - "Because we h…

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MikroMCP

Production-grade MCP server for MikroTik RouterOS with secure AI-native network automation.

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